CAREER: Distributed estimation and control for energy efficient buildings

职业：节能建筑的分布式估计和控制

• 批准号: 0955023
• 负责人: Prabir Barooah
• 金额: $ 40万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-02-01 至 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0955023&HistoricalAwards=false
• 关键词: CAREER; Distributed; estimation; control; energy

Intellectual Merit: The goal of the proposed research is to achieve significant improvement in energy efficiency of large buildings by real-time estimation and control of their the heating, ventilation, and air-conditioning (HVAC) systems The key intellectual merit of the proposed research lies in the novel formulation of the HVAC energy optimization problem, which relies on uncertainty reduction through estimation (of thermal loads and occupancies) to make the control design problem tractable. Past and current research in energy optimal control of HVAC systems has assumed that the thermal loads and occupancies are known. This assumption has limited their applicability in practice. The technical research plan utilizes several components from diverse areas ? graphical models, iterative methods, distributed MPC framework ? to produce an integrated framework that shows promising preliminary results. In addition to design of estimation and control algorithms, research is planned on establishing algorithm-independent performance limits, which will increase our understanding of fundamental limits in distributed estimation and control. Finally, extensive experimental validation in real buildings is planned to demonstrate the practical applicability of the methods.Broader Impact: Successful completion of the proposed research will lead to a substantial reduction in CO2 emissions in the United States, and improvement in the nation?s energy security. The research will impact the building-energy business sector in the U.S. via the industrial collaboration and technology demonstration that are planned with United Technologies, a key player in building-energy business. The educational component that targets community college students has the potential to directly provide employment-relevant training to America?s workforce, especially those without four-year college degrees. The timeliness of the research topic will help bring about greater engagement of undergraduate students in engineering research. Furthermore, the technical research will impact a broad spectrum of applications that involve estimation and control of spatio-temporal processes with complex dynamics with spatially distributed sensors and actuators. Operation of the electric power grid, monitoring and control of traffic in air, highways, and communication networks are a few examples where this research can be useful.

智力优势：所提出的研究的目标是通过实时估计和控制大型建筑物的供暖、通风和空调（HVAC）系统来实现大型建筑物的能源效率的显著提高。所提出的研究的关键智力价值在于HVAC能量优化问题的新颖公式化，其依赖于通过估计（热负荷和占用）来减少不确定性，以使控制设计问题易于处理。过去和现在的暖通空调系统能量优化控制的研究假设热负荷和占用率是已知的。这一假设限制了它们在实践中的适用性。技术研究计划使用来自不同领域的几个组件？图形模型，迭代方法，分布式MPC框架？制定一个综合框架，显示出有希望的初步成果。除了设计的估计和控制算法，研究计划建立算法独立的性能限制，这将增加我们的理解，在分布式估计和控制的基本限制。最后，在真实的建筑物中进行广泛的实验验证，以证明该方法的实用性。更广泛的影响：成功完成拟议的研究将导致美国二氧化碳排放量的大幅减少，并改善全国？能源安全。该研究将通过与建筑能源业务的主要参与者联合技术公司计划的工业合作和技术演示来影响美国的建筑能源业务部门。针对社区大学学生的教育部分有可能直接为美国提供与就业相关的培训？劳动力，特别是那些没有四年制大学学位的人。研究课题的及时性将有助于使本科生更多地参与工程研究。此外，技术研究将影响广泛的应用，涉及空间分布的传感器和执行器的复杂动态的时空过程的估计和控制。电网的运行，空中交通的监控，高速公路和通信网络是一些例子，在那里这项研究可以是有用的。